A new evolutionary approach for neural spike detection based on genetic algorithm
- Author
- MOHAMMAD HOSSEIN ZARIFIA1 ; NEGAR KARIMI GHALEHJOGH1 ; BARADARAN-NIA, Mehdi2
[1] Department of Computer Engineering, East Azerbaijan Science and Research Branch, Islamic Azad University, Tabriz, Iran, Islamic Republic of
[2] Control Engineering Department, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran, Islamic Republic of - Source
Expert systems with applications. 2015, Vol 42, Num 1, pp 462-467, 6 p ; ref : 1/4 p
- ISSN
- 0957-4174
- Scientific domain
- Computer science
- Publisher
- Elsevier, Amsterdam
- Publication country
- Netherlands
- Document type
- Article
- Language
- English
- Author keyword
- Genetic algorithm NEO Neural spike detection Neuronal signal
- Keyword (fr)
- Algorithme génétique Algorithme évolutionniste Consommation énergie Critère sélection Dispositif puissance Epilepsie Filtre Génie biomédical Implant Information courante Largeur bande Localisation Pistage Pointe positive Potentiel champ Poursuite Rapport signal bruit Réseau neuronal Réseau sans fil Santé Seuil Système expert Système nerveux central Temps réel Traitement signal Trouble neurologique
- Keyword (en)
- Genetic algorithm Evolutionary algorithm Energy consumption Selection criterion Power device Epilepsy Filter Biomedical engineering Implant Current information Bandwidth Localization Tracking Spike Field potential Tracking(movable target) Signal to noise ratio Neural network Wireless network Health Threshold Expert system Central nervous system Real time Signal processing Neurological disorder
- Keyword (es)
- Algoritmo genético Algoritmo evoluciónista Consumo energía Criterio selección Dispositivo potencia Epilepsia Filtro Ingeniería biomédica Implante Información corriente Anchura banda Localización Rastreo Espiga positiva Potencial campo Persecución y continuación Relación señal ruido Red neuronal Red sin hilo Salud Umbral Sistema experto Sistema nervioso central Tiempo real Procesamiento señal Trastorno neurológico
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B04 Computer systems and distributed systems. User interface
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing
- Pascal
- 002 Biological and medical sciences / 002A Fundamental and applied biological sciences. Psychology / 002A25 Vertebrates: nervous system and sense organs / 002A25D Central nervous system / 002A25D03 Electrophysiology
- Pascal
- 002 Biological and medical sciences / 002B Medical sciences / 002B17 Neurology / 002B17A Nervous system (semeiology, syndromes) / 002B17A03 Headache. Facial pains. Syncopes. Epilepsia. Intracranial hypertension. Brain oedema. Cerebral palsy
- Discipline
- Computer science : theoretical automation and systems Neurology Vertebrates : nervous system and sense organs
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 28843415
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.eswa.2014.07.038 
https://dx.doi.org/10.1016/j.eswa.2014.07.038
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